Renewable forecast

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Data Consulting Case Study

Client

A leading organization in the Energy Industry.

The Business Need

The organization wanted to use machine learning algorithms to generate a prediction model that forecasts future energy production values based on previous wind speed data to optimize profit and improve performance.

Challenges

Anticipating and hedging against losses due to output shortfalls can facilitate the improvement of renewable and green energy. However, manual data collection can be a hassle, leading to errors.

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Our Solution

Data visualization is performed as an initial analysis to identify and obtain insights into the trends in energy production.
Feature engineering and scaling are performed to provide the significant attributes that can be used to train the model.
Machine learning models are developed with key parameters and deployed.
The predictions obtained from the model are plotted to observe the variance of the predicted outcomes from actual values (model evaluation).